DE202014010949U1 - A suggestion device based on favorites nearby - Google Patents

Abstract

A points of interest (POIs) for display on a digital map at a client computing device based on contextual information associated with a user, the system comprising: a POI selection system in communication with a memory for storing Instructions for executing the POI selection system on a processor, the instructions including: receiving location data from a client computing device, the location data indicating a geographic location of the computing device, determining a user classification based on the location data, wherein the user Classifying a degree of familiarity with the location indicated by the location data and determining prioritization data based on location data and user classification, the prioritization data indicating one or more sets of POIs to be prioritized; an imaging system in communication with a memory storing instructions for execution on a processor of the mapping system, the instructions comprising: sending the prioritization data to the client computing device, wherein the prioritization data is the indication on the client computing device of the specified POI or POIs Records, then receiving a request for mapping data, wherein the requested mapping data corresponds to the location of a prioritized POI, and sending the requested mapping data to the client computing device in response to the subsequent request.

Description

Technical area

The present disclosure generally relates to the generation and display of maps within a web-based mapping system, and more particularly to the generation and display of POI suggestions based on user context information.

Under protection and subject to the utility model are, according to the provisions of the utility model law, only devices as defined in the appended claims, but no method. Wherever in the description, if appropriate, reference is made to methods, these references are merely illustrative of the device or devices set forth in the appended claims.

background

The background description given herein is intended to broadly illustrate the context of the disclosure. The work of the present inventor, to the extent described in this Background section, as well as aspects of the description that may not otherwise qualify as prior art at the time of filing, are neither expressly nor implicitly prior art to the prior art recognized in the present disclosure.

Many mobile computing devices, such as mobile phones, tablet computers, notebooks, etc. integrate Global Positioning System (GPS) applications and related hardware. When operated on the device, the GPS applications can communicate with a GPS transmitter or other GPS hardware on the device and a backend application server to give a user a digital map of an area as well as caption data and location page data at the current location of the device to provide around. While driving, a tourist can use a web-based or other mapping system to display a map with destination suggestions. Similarly, as these computing devices are mobile, users travel with the devices and use them to display maps of unknown destinations. Likewise, users can also use these devices in their own environment to display maps of known destinations.

Typical mapping systems create and display identical maps for each user. For example, the mapping system may receive a request for a map from a particular area from both a resident and a tourist. In response to the request, typical mapping systems indicate identical or near identical maps, whether the requester is a local resident of the requested map or a tourist traveling or searching in the requested map area.

Summary

The features and benefits described in this summary as well as the following detailed description are not to be considered as exhaustive. Many other features and advantages will be apparent to those skilled in the art from the drawings, specification and claims hereof. Further, in other embodiments, one or more (or all) of the features and advantages described in this summary may be omitted.

The computer system and method described in this disclosure suggest Points of Interest (POIs) to the user of a mapping application on a computing device. These suggestions are determined based on contextual information such as the location of the user, the user's familiarity with the location, time, information about the POIs, and other user profile information. Information about the POIs, such as categories, subcategories, recommendations, and distance, can be used to identify the suggestions and organize suggestions into POI categories. Once the user has made suggestions for POIs and / or POI categories, they can navigate through the suggestions and then request further information about the proposals. If the user has selected a suggested POI, information about that particular POI is requested and the POI is displayed in the mapping application on the computing device.

In one embodiment, a computer-implemented method may prioritize certain POIs for display on a digital map on a client computing device based on contextual information associated with a user. The method may receive location data from a client computing device. The location data may indicate a geographic location of the computing device. The method can also make a user classification based on the location data. The user classification may show a degree of familiarity with the location indicated by the location data. The method may also specify prioritized data based on the location data and the user classification, wherein the priority data comprises one or more sets of Show POIs to be prioritized. Furthermore, the method may send the determined priority data to the client computing device, wherein the priority data enables the display of the specified POI set (s) on the client computing device. After sending the determined priority data to the client computing device, the method may receive a request for the mapping data, wherein the requested mapping data corresponds to a location of a prioritized POI and sends the requested mapping data to the client computing device in response to the subsequent request.

In another embodiment, a computer-implemented method may prioritize POIs to display them on a digital map on a mobile computing device based on information associated with a user. The method may send location data from a mobile computing device, wherein the location data indicates a geographic location of the computing device. The method may also receive prioritization data indicating one or more sets of POIs to be prioritized based on the location data and user classification, wherein the user classification is based on a degree of familiarity with the location indicated by location data. Further, the method may prioritize one or more POI sets on the mobile computing device and send a request for mapping data, wherein the requested mapping data corresponds to a prioritized POI. Finally, the method may receive the requested mapping data in response to the subsequent request on the mobile computing device.

In another embodiment, a computer system may prefer POIs based on contextual information associated with a user for display on a digital map on a client computing device. The system may include a system for selecting POIs that is in communication with a memory that stores instructions to be executed on a processor of the POI selection system. The POI instructions may obtain location data from a client computing device, where the location data is a geographic location of the computing device, user classification based on location data, user classification based on location data indicating a degree of familiarity with the location, and prioritization data specify the location data, the prioritization data indicating one or more POI sets to be prioritized. The system may also include a mapping system in communication with a memory that includes instructions for executing the mapping system on a processor. The instructions of the mapping system may send prioritization data to the client computing device, wherein the prioritization data enables the display on the client computing device of the specified POI phrase (s), then receiving a request for mapping data, wherein the requested mapping data is the location of the prioritized POI and send the requested mapping data to the client computing device in response to the subsequent request.

In another embodiment, a computer system may prefer POIs based on contextual information associated with a user for display on a digital map on a client computing device. The system may include: means for receiving location data from a client computing device; Location data indicating a geographic location of the computing device; means for determining a user classification based on the location data; the user classification, which indicates a degree of familiarity with the location referred to by the location data; and means for determining prioritization data based on the location data and the user classification, the prioritization data indicating one or more POI sets to be preferentially displayed. The system may also include: means for sending prioritization data to the client computing device, wherein the prioritization data enables display of the specified POI phrase (s) on the client computing device; means for subsequently receiving a request for mapping data, wherein the requested mapping data corresponds to the location of a prioritized POI; and means for sending the requested mapping data to the client computing device in response to the subsequent request.

Brief description of the drawings

1 is an example of a complex block diagram of a system for setting points of interest (POIs) for display on a digital map on a client computing device based at least on a user's location and classification;

2 FIG. 12 illustrates an exemplary flowchart of a method for setting POIs for display on a digital map on a client computing device, based at least on a user's location and classification;

3 shows an exemplary screenshot of POIs and categories of POIs on a client computing device where the user is in an unknown location;

4 shows an exemplary screenshot of POIs and categories of POIs on a client computing device where the user is in a known location;

5 shows an exemplary screenshot of POIs and POI subcategories on a client computing device after a user has limited the POIs to a category where the user is in an unknown location;

6 shows an exemplary screenshot of POIs and POI subcategories on a client computing device after a user has limited the POIs to a category where the user is located in a known location;

7 shows an exemplary screenshot of POIs on a client computing device after there are no more potential subgroups;

8th Figure 12 shows an exemplary screenshot on a client computing device of POIs, a discoverer item, and a nearby item based on your story;

9 shows an exemplary screenshot of POI categories and POI subcategories on a client computing device resulting from the selection of a discoverer item;

10 shows an exemplary screenshot of POI categories, POI subcategories and POIs within these subcategories on a client computing device resulting from the selection of a category; and

11 shows an exemplary screenshot of a POI on a map after being selected by the user on a client computing device.

The figures represent a preferred embodiment for the purpose of illustration only. With the aid of the following description, it will be readily apparent to one skilled in the art that alternative embodiments of the structures and methods illustrated herein may be used without departing from the principles described herein.

Detailed description

1 is a complex block diagram of a system for setting POIs for display on a digital map on a client computing device based at least on a user's location and classification. Even though 1 represents a client-server network environment, other aspects of the system 100 other configurations included (peer-to-peer, single-system, cloud, etc.). In general, the system can be front-end components 101 and back-end components 109 involve over a network 108 communicatively coupled. The front-end components 101 can be a client computer device 102 and a display device 103 include. The client computing device 102 can a memory 104 include, which is a mapping module 105 stores. A processor 106 can be instructions of the mapping module 105 to request, receive, process and display maps and / or POI information as described herein. A GPS module 107 may include a GPS transceiver, which is the mapping module 105 supplied with position data according to a current geographical position of the client computer device. The client computing device 102 may include a personal computer, a smartphone, a tablet computer, or other suitable computing device. The computing device 102 is able to execute the various modules, instructions, etc. described here. The mapping module 105 Can with back-end components 109 including a mapping system 115 and a selection system 110 for POIs over a network 108 such as the Internet or any other type of network (eg LAN, MAN, WAN, mobile phone, wired or wireless network, private network or virtual private network, etc.).

For the sake of simplicity, the client device becomes 102 with a single processor 106 shown to run various modules in the device memory 104 as described here are stored. The client device 102 may in other embodiments include additional processing units (not shown) such as a graphics processing unit (GPU) configured to, for example, display the image on the display 103 to facilitate. Furthermore, the imaging module 105 Use a library of graphics capabilities to efficiently create a map image. For example, the memory 104 Save a plugin, such as an OpenGL ^® or Direct3D ^® library, with graphics rendering capabilities to the various applications running on the client 102 including the mapping module 105 , through an application programming interface (API). In another embodiment, the memory stores 104 a plug-in, which is particularly suitable for browser applications such as WebGL ^®. In some embodiments, the memory stores 104 Also, additional software components that allow efficient playback of images via the display device 103 facilitate. The memory 104 For example, an Adobe ^® Flash ^® plug-in or save a O3D plug-in.

While the system 100 as in 1 also represented the mapping system 115 and the POI selection system 110 As back-end components, the components and functions of the system described herein may be used 100 also in the client computer device 102 be integrated. For example, the POI selection system 110 as computer-executable instructions of the mapping module 105 , the mapping system 115 or implemented as a separate module or system.

The mapping system 115 may include a database containing map data 116 contains or communicate with it.

In some embodiments, the selection system 110 for POIs, include one or more modules stored in the memories of the various system components. The modules may include instructions that, when executed by a processor, a user of a client computing device 102 currently identify the mapping system 115 used that is bound to a specific geographic region. In some embodiments, the selection system 110 Instructions in a user classification module 111 execute to a current location of the user (via a GPS module 107 ) compare with other data, such as the user profile data 113 to indicate whether the user is currently classified, for example, as a "tourist" or "resident". This classification is used to indicate the degree of familiarity of the user with POIs in a particular geographic area. With this classification, the user location and all other available context data, the prioritization module 112 the POIs and / or POI categories from a POI database 114 choose. These selected POIs and / or categories of prioritization POIs may be assigned to the mapping system 115 and / or directly to the user device 102 over the network 108 be reported back.

2 FIG. 10 is an exemplary flow diagram of a method for establishing POIs for display on a digital map on a client computing device based at least on location and classification of a user. The procedure 200 may include one or more blocks, modules, functions, pipelines, or routines in the form of computer-executable instructions stored in a tangible computer-readable medium and using a processor 116 . 130a . 144a a client device 102 (eg, a smartphone, tablet computer, or a mobile computing device or other computing device as described herein) or on one or more servers 130 . 144 get saved. The procedure 200 can be part of any modules of a computer environment in a system 100 integrated to prioritize POIs to be displayed when displayed to users, whether they are classified as tourist or resident, for example, maps are generated and displayed, or as part of a module external to such a system is. Further, a user may enable or disable one or more options to the system 100 to allow or prohibit collecting or sending data regarding the user profile or other data by which a user can be identified (eg, preferred locations, current location, etc.). from any sources that are on or in communication with the client device 102 be executed. For example, it may be a user interface of the mapping module 105 allow a user to decide which user data to use or collect as described here or not. In addition, the procedure can 200 Use or access data that is in any way associated with a user only if that user has expressly consented to the use or access to such data.

Regarding 2 can a procedure 200 the system 100 cause to execute commands to POI data for prioritization on the user device 102 set. At block 202 can the system 100 Execute commands to receive a mapping data request containing location data and user identity. The location data corresponds to a location of the computer device that sent the mapping data request. The computing device may determine its position with a GPS module, signal triangulation (eg cell towers, Wi-Fi signals, radio signals, etc.) or other location-finding methods. The user identification may include an indication of a user who currently used the computing device that sent the mapping data request. For example, the display may correspond to a user profile for a user who is logged in to a web or other service with the computing device. The client device may also automatically send the mapping data request upon the occurrence or meeting of one or more conditions. Occurrence or conditions may include: initiating a mapping application on the computing device, the operating system of the device recognizing a new location of the device (eg, a system update when a user lands on a foreign airport, or the like), a mapping Application detects a new device location while the mapping application is running in the background on the device, and so on.

At block 204 can the system 100 Execute commands to compare location data to a client computing device with user profile data to make a user classification as a "tourist" or "resident". The user classification may indicate a degree of familiarity of the client computing device with the location.

At block 206 can the system 100 Execute commands to determine POIs and / or POI categories for prioritization on the client computing device. In addition to user classification and location data, this determination may use any other available data, such as time of day, weather, personal interests, personal interests or experiences of social media friends, etc. Based on this information, examples of prioritized POIs may include proposed discos. if time and location indicates that the user is about to finish dinner, a currency exchange, if the location indicates that the user may arrive by plane at a location abroad, etc. This determination may include information about the user and the recommendations his friends use social media or are based on recommendations such as being tourist-friendly, recommended by local experts, popularity, etc.

Typically, the prioritization of a POI is achieved by displaying these POIs, and / or by POI categories, as suggestions to the user. In addition to defining POIs and / or POI categories for prioritizing POIs, the method may also determine the display order of the promoted items.

At block 208 can the system 100 Execute instructions to optionally send the prioritization data containing the selected POIs and / or POI categories to the client computing device in a particular order. The client computing device may then process the prioritization data to indicate to the user the various prioritized POIs and associated information.

At block 210 can the system 100 Execute commands to determine if the user has selected a POI category. If so, the method may continue to select POIs and / or categories of POIs for prioritization. These steps can be repeated for all existing category and subcategory levels.

At block 212 can the system 100 Execute commands to obtain a request for mapping data that corresponds to a particular prioritized POI upon selection of the user-selected, prioritized POIs. At block 214 can the system 100 Execute instructions to send the requested mapping data to the client computing device in response to the user selection of the prioritized POIs.

3 shows an exemplary screenshot on a client computing device 101 of POIs and categories of POIs where the user is in a foreign environment and classified as a tourist. In some embodiments, this is the first screen 300 The computing device informs the user when starting the mapping application 105 as soon as the user has been classified as a tourist. The computer device 101 can process the received promotion data to a search input field 301 , prioritized POIs 302 as well as categories of POIs 303 . 304 and 305 display. The screen 300 may allow the user to interact with one or more elements on the screen by selecting an element (eg, by a touch or other gesture, by mouse click, by mouse-over, or by another action with a pointer, by pressing an enter key, etc.). The search element 301 can the computer device 101 to execute instructions to determine if any POIs satisfy one or more search parameters within the search element 301 were entered. The subsidized POIs 302 can be determined based on user context data (eg, a tourist). Contextual data may also include location, time, user profile data, user favorites or a search history, and so on. If the user is unfamiliar with the area and may have just arrived (ie, classified as a tourist), a bureau de change and public toilets will be on the home screen 300 prioritized. POI categories 303 . 304 and 305 can also be promoted on the basis of context data. For example, if the system determines that a user is a tourist, the categories of Shop 303 game 304 and sleep 305 Categories that are typically assigned to residents or users who are familiar with the territory, the current location of the computing device 101 equivalent. These categories may be prioritized in a particular order or categories may be included or omitted based on the contextual data.

4 shows an exemplary screenshot of POIs and POI categories on a client computing device 101 where the user is in a familiar environment and is considered a resident. In some embodiments, this is the splash screen 300 The computer device displays to the user when the mapping application 105 is initiated and the user is classified as a resident. The computer device 101 can process the received promotion data to a search input field 401 , prioritized POIs 402 as well as categories of POIs 403 . 404 and 405 display. The screen 400 may allow the user to interact with one or more elements on the screen by selecting an element (eg, by a touch or other gesture, by mouse click, by mouse-over, or by another action with a pointer, by pressing an enter key, etc.). The search element 401 can the computer device 101 to execute instructions to determine if any POIs satisfy one or more search parameters within the search element 401 were entered. The prioritized POIs 402 can be obtained from user context data (for example, local users). Contextual data may also include location, time, user profile data, user favorites or a search history, and so on. If the user is familiar with the area, common goals are prioritized, such as cafes or grocery stores. The selection of these POIs may also be based on the user's preferred locations in the area. POI categories 403 . 404 and 405 can also be promoted on the basis of context data. For example, if the system determines that a user is a resident, categories such as food 403 , Drink 404 and shop 405 Categories that are typically assigned to tourists or users who are unfamiliar with the area that is the current location of the computing device 101 equivalent. These categories may be prioritized in a particular order or categories may be included or omitted based on the contextual data.

5 shows an exemplary screenshot 500 POIs and POI subcategories on a client computing device after a user has restricted the POIs to a category when they are in a foreign environment. For example, the user has the category here 501 Selected "food". POI 503 and 505 be under the subcategories 502 and 504 arranged. These subcategories may be included or omitted depending on the contextual data, or the order may be selected. There may also be other subcategories 507 be proposed.

6 shows an exemplary screenshot 600 on a client computing device of POIs and POI subcategories, after a user has restricted the POI to a category where he finds himself in a familiar location. For example, the user has the category here 601 Selected "food". POI 603 and 605 be under the subcategories 602 and 604 arranged. These subcategories may be included or omitted depending on the contextual data, or the order may be selected. More subcategories 507 can also be suggested.

7 shows an exemplary screenshot 700 POIs and POI subcategories on a client computing device. The category or subcategory 701 is optionally displayed at the top of the screen. Although this information could have been displayed on previous screens, additional information is provided here, for example, for each POI 702 . 703 and 704 displayed as a star rating and the distance from the user's current location.

8th illustrates another embodiment of an initial screen 800 for use with the system 100 , The screen 800 can contain several interactive elements, including a search area 802 , prioritized POIs 804 , an exploration element 806 and exploration categories 808 as well as an element that is close to a story element 810 located. In some embodiments, this is the splash screen 800 The computer device displays to the user when the mapping application 105 is initiated and the user is classified as a tourist or resident. The computer device 101 can process the received prioritization data to all prioritized POIs 804 and the exploration categories 808 display. The screen 800 may allow the user to interact with one or more elements on the screen by selecting an element (eg, by a touch or other gesture, by mouse click, by mouse-over, or by another action with a pointer, by pressing an enter key, etc.). The prioritized POIs 804 can be determined based on user context data (eg, tourist or resident). Contextual data may also include location, time, user profile data, user favorites or a search history, and so on. The exploration categories 808 can also be prioritized based on context data. For example, if the system determines that a user is a tourist, categories such as eating, drinking, gaming, shop, and sleeping may be preferred over categories that are typically associated with residents or users who are familiar with the area the current location of the computing device 101 equivalent. These categories may be prioritized in a particular order or categories may be included or omitted based on the contextual data.

Selecting the item "Near your story" 810 can cause the computer device 101 Instructions to display various POIs from the search history of a user or user profile that are near the current location of the computing device 101 are located. The selection of the exploration element 806 can the computer device 101 to execute instructions, another screen 900 ( 9 ). screen 900 can any of the exploration categories 808 and also subcategories 902 include. The subcategories 902 may include additional categories based on one or more criteria. For example, the criteria may include: POIs your friends like on social media, POIs based on user classification as a tourist or resident, POIs based on ratings from residents only, and POIs based on personal profile or other data (eg B. Search history, favorites, profile information that may be used for hobbies or interests, etc.).

The selection of the food category can be the computer device 101 to execute instructions, another screen 1000 ( 10 ). screen 1000 can be any of the subcategories 902 as well as POIs 1002 include, as associated with criteria within each subcategory 902 were identified. For example, the user has the category here 808 Selected "food". POI 1002 be among the subgroups 902 arranged. These subgroups may be included or omitted, or the order may be selected, depending on the contextual data (ie, tourist or resident). There may also be other subcategories 902 be proposed.

11 shows an exemplary screenshot of a POI on a map after being selected by the user on a client computing device. After selecting a POI the user will be on the display 1100 the position of the POI 1101 displayed on a map. Also in this example, the name of the POI 1102 as well as rating and distance 1103 displayed.

As described, the computer system and method provide the user of a mapping application on a computing device with POI (Point of Interest - POIs) suggestions. These suggestions are determined based on contextual information such as the location of the user, the user's familiarity with the location, time, information about the POIs, and other user profile information. Information about the POIs, such as: Categories, subcategories, recommendations, and distance can be used to identify suggestions and organize them into POI categories. Once the user has made suggestions for POIs and / or POI categories, they can navigate through the suggestions and then request further information about the proposals. If the user has selected a suggested POI, information about that particular POI is requested and the POI is displayed in the mapping application on the computing device.

In addition, certain embodiments are described herein as including a logic or set of components, modules, or mechanisms. Modules may be formed either from software modules (for example, from a code or instructions executed on a machine-readable medium or in a transmission signal in which the code is executed by a processor) or from hardware modules. A hardware module is a tangible device that can perform certain operations, and it can be configured or arranged in a particular way. In exemplary embodiments, one or more computer systems (eg, a stand-alone, client, or server computer system) or one or more hardware modules of a computer system (eg, a processor or group of processors) may be executed by the software (e.g. an application or an application part) as a hardware module to perform certain operations described herein.

In various embodiments, a hardware module may be implemented mechanically or electronically. For example, a hardware module may include special circuitry or logic that is permanently configured to perform certain operations (eg, as a dedicated processor, such as a Field Programmable Gate Array (FPGA) or an Application Specific Integrated Circuit (ASIC)). A hardware module may also include programmable logic or circuitry (eg, as enclosed in a general-purpose processor or other programmable processor) temporarily configured by the software to perform certain operations. It should be noted that the decision to mechanically implement a hardware module into dedicated and permanently configured or temporarily configured circuits (eg, configured by software) may depend on cost and time considerations.

Accordingly, the term "hardware module" should be understood to include a physical entity, which may be an entity that is physically constructed, permanently configured (eg, hardwired), or temporarily configured (eg, programmed), to work in a certain way or to perform certain operations described herein. As used herein, "hardware-implemented module" refers to a hardware module. In consideration of embodiments in which hardware modules are temporarily configured (eg, programmed), the respective hardware modules may not be configured at each individual instance of time or be instantiated. For example, if the hardware modules include a general-purpose processor configured to use software, the general-purpose processor may be configured as correspondingly different hardware modules at different times. Accordingly, software may, for example, configure a processor to represent a particular hardware module at one instance of time and a different hardware module at a different instance of time.

Hardware modules can provide information to other hardware modules and receive information from them. Accordingly, the described hardware modules may be considered communicatively coupled. In cases where such hardware modules are coexistent, data transfers can be achieved via signal transmission (for example, via appropriate circuits and buses) connecting the hardware modules. In embodiments in which multiple hardware modules are configured or instantiated at different times, communications between such hardware modules may be accomplished, for example, by storing and retrieving information in memory structures accessible to multiple hardware modules. For example, a hardware module may perform an operation and store the output from that process in a storage device to which it is communicatively connected. Another hardware module may then access the storage device at a later time to retrieve and process the stored output. Hardware modules may also initiate communications with input or output devices and may be working on a resource (eg, a collection of information).

The various operations of example methods described herein may be performed, at least in part, by one or more processors that are temporarily configured (eg, by software) or permanently configured to perform the relevant operations. Whether configured temporarily or permanently, such processors represent modules implemented by processors that operate to perform one or more operations or functions. Modules referred to herein include modules implemented by processors in some exemplary embodiments.

Similarly, methods or routines described herein may be implemented at least in part by processors. For example, at least some of the operations of a method may be performed by one or more processors or processor modules implemented by processors. The performance of certain operations may be distributed among the one or more processors that are not in a single machine but are provided through a number of machines. In some exemplary embodiments, the processor or processors may reside in a single location (eg, in a home environment, in an office environment, or as a server farm), while in other embodiments, the processors may be distributed over a number of locations.

The one or more processors may also operate to support the performance of the relevant operations in a "cloud computin" environment or as a "software as a service" (SaaS). For example, some of the operations may be performed by a group of computers (eg, from machines including processors), these operations being over a network (e.g., the Internet) and through one or more suitable interfaces (e.g. Application program interfaces, APIs) are accessible.

The performance of certain operations may be distributed among the one or more processors that are not in a single machine but are provided through a number of machines. In some example embodiments, the one or more processors or modules implemented by processors may reside in a single geographic location (eg, a home environment, an office environment, or a server farm). In other exemplary embodiments, the one or more processors or modules implemented by processors may be distributed over a number of geographic locations.

Some portions of this specification are presented in terms of algorithms or symbolic representations of operations on data stored as bits or binary digital signals in a machine memory (eg, a computer memory). These algorithms or symbolic representations are examples of techniques used by those skilled in the data processing arts to convey the essential contents of their work to others skilled in the art. As used herein, an "algorithm" is a consistent sequence of operations or similar processing that results in a desired result. In this context, algorithms and operations involve the physical manipulation of physical sets. Usually, but not necessarily, such amounts may take the form of electrical, magnetic or optical signals that can be stored, called up, transferred, combined, compared or otherwise manipulated by a machine. Mainly for reasons of common usage, it is sometimes convenient to use such words as words such as "data", "content", "bits", "values", "elements", "symbols", "characters", "terms" "numbers , "Numerals" or the like. However, these words are merely practical terms and should not be linked to corresponding physical quantities.

Unless specifically stated otherwise, discussions herein that use words such as "processing," "computation," "determination," "presentation," "display," or the like, may refer to actions or processes of a machine (eg, a computer ), which manipulate or transform data that is physical (e.g., electronic, magnetic, or optical) into one or more memories (eg, volatile memory, nonvolatile memory, or a combination thereof), registers, or other machine components which receive, store, transmit or display information.

As used herein, any reference to "some embodiments" or "an embodiment" means that a particular element, feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. The use of the phrase "in some embodiments" throughout the specification is not necessarily all to the same embodiment.

Some embodiments may be described by the term "coupled" and "connected" together with their derivatives. For example, some embodiments may be described by the term "coupled" to indicate that one or more elements are in direct physical or electrical contact. However, the term "coupled" may also mean that one or more elements are not in direct contact with each other but still co-operate or interact with each other. The embodiments are not limited in this context.

Still further, the figures depict preferred embodiments of a computer system for purposes of illustration only. Those skilled in the art will readily recognize from the following discussion that alternative embodiments of the structures and methods illustrated herein may be used without departing from the principles described herein.

Upon reading this disclosure, those skilled in the art will recognize other alternatives of structural and functional designs for generating secure location indicators through the principles disclosed herein. Thus, while particular embodiments and applications have been illustrated and described, it should be understood that the disclosed embodiments are not limited to the precise construction and components disclosed herein. Various modifications, changes, and variations that will become apparent to those skilled in the art may be made in the arrangement, operation, and details of the methods and apparatus disclosed herein without departing from the spirit and scope of the appended claims ,

Claims (3)

A points-of-interest (POIs) computer system for display on a digital map at a client computing device based on contextual information associated with a user, the system comprising: a POI selection system in communication with a memory for storing instructions for executing the POI selection system on a processor, the instructions including: Receive location data from a client computing device, where the location data Display a geographical position of the computing device, Determining a user classification based on the location data, wherein the user classification indicates a degree of familiarity with the location indicated by the location data and Determining prioritization data based on location data and user classification, the prioritization data indicating one or more sets of POIs to be prioritized; an imaging system in communication with a memory storing instructions for execution on a processor of the mapping system, the instructions include: Sending the prioritization data to the client computing device, wherein the prioritization data enables the display on the client computing device of the specified POI phrase (s), then receiving a request for mapping data, wherein the requested mapping data corresponds to the location of a prioritized POI, and Sending the requested mapping data to the client computing device in response to the subsequent request. The computer system of claim 1, further comprising: then receiving a request for mapping data, wherein the requested mapping data corresponds to a location of a prioritized POI; and Sending the requested map data to the client computing device in response to the subsequent request; wherein the user classification is determined using user profile data corresponding to the client computing device. The computer system of any one of the preceding claims, wherein the prioritization data is determined based on the time of day and the prioritization data includes recommended POIs based on at least location data, user profile data, and user classification.

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